DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation
Presentation generation requires deep content research, coherent visual design, and iterative refinement based on observation. However, existing presentation agents often rely on predefined workflows and fixed templates. To address this, we present DeepPresenter, an agentic framework that adapts to diverse user intents, enables effective feedback-driven refinement, and generalizes beyond a scripted pipeline. Specifically, DeepPresenter autonomously plans, renders, and revises intermediate slide artifacts to support long-horizon refinement with environmental observations. Furthermore, rather than relying on self-reflection over internal signals (e.g., reasoning traces), our environment-gro...
| Authors | Hao Zheng, Guozhao Mo, Xinru Yan et al. |
|---|---|
| Primary category | cs.AI |
| Published | 26 February 2026 |
| Last updated at source | 20 April 2026 |
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